Wu Bin, Shi Neng, Li Ling. The trend variation feature of fog days in Fujian Province for recent 44 years. J Appl Meteor Sci, 2007, 18(4): 497-505.
Citation: Wu Bin, Shi Neng, Li Ling. The trend variation feature of fog days in Fujian Province for recent 44 years. J Appl Meteor Sci, 2007, 18(4): 497-505.

The Trend Variation Feature of Fog Days in Fujian Province for Recent 44 Years

  • Received Date: 2006-02-15
  • Rev Recd Date: 2007-01-09
  • Publish Date: 2007-08-31
  • The monthly data of fog (visibility less than 1000 m) and dense fog (visibility less than 500 m) from 50 meteorological stations in Fujian Province in the period of 1961—2004 are used to analyze the annual and seasonal distribution feature, the long term trend variation, the annual and decadal variation and possible influence factors etc.The results show that the regions where annual and seasonal fog occurs frequently are in the central and western Sanming, while few occurrences are in the coast and the south of Fujian, the same is dense fog.Among the more fog regions, the number of annual fog days is more than 80, some exceed 100 days.In less fog regions it is less than 20 days.More than 30%of fog days in more fog areas are dense fog, some areas such as the southern Nanping it can even pass 50%. Dense fog seldom occurs in the coast.Fog occurs frequently during autumn and winter (October to next February) in inland and in spring in the coast areas.In summer, fog events are not prone happening.The time which dense fog appears often is in October to next February.The tendency of annual and seasonal fog days significantly decreases in large parts of Fujian with the tendency coefficients above 99.9%confidence level for 30 stations, and only in western Longyan and parts of the coast the tendency increases.For dense fog, the decreasing tendency is less than that of fog, there is nearly no change in the tendency in the south and the middle coast in Fujian, only in the middle inland the tendency has significant decrease. Analysis is focused on decadal average numbers of dense fog and its deviation coefficient.It is pointed out that though the dense fog days have a small decrease in 1990s but its deviation coefficient is the biggest, therefore the dangerous of dense fog increases while the predictability is difficult.The annual and seasonal fog days represent significant decadal variability.The annual fog days are below the normal after the mid 1980s, before which it is above the normal.Special analysis is given to 6 representative stations for the tendency and monthly variable rule of fog and dense fog.Furthermore studies of the reasons for the decrease of fog point out that the fog days have good negative relation with annual average temperature, and good positive one with relative humidity.The remarkable jump points for the three are in the mid 1980s.After that time the temperature increases faster, while relative humidity reduces remarkably and the numbers of fog decrease too.It still has a certain relationship with the dimension of forest.But due to the limited data, it now has some uncertainties.
  • Fig. 1  Distribution of annual fog days in Fujian (unit: d)

    Fig. 2  Percent of monthly fog days in Fujian

    Fig. 3  Percent of seasonal fog days of observatories in Fujian (unit : %) (a) from March to June, (b) from December to next February

    Fig. 4  Distribution of tendency coefficient of fog (a) and dense fog days (b)

    Fig. 5  The number of fog and dense fog day s and its tendency coefficient for six stations from 1961 to 2004

    Fig. 6  The standard time coefficient of EOF1(a) and its Mann-Kendall test (b) for fog days in Fujian

    Fig. 7  The standard time coefficient of EOF1 and its tendency for mean temperature (a) and mean relative humidity (b) in Fujian

    Table  1  Variation of decadal dense fog days with its deviation coefficient in Fujian

    Table  2  The number of fog and dense fog doys and its tendency coefficient for representative stations in Fujian

    Table  3  Decadal deviation coefficient of dense fog days for six stations in Fujian

    Table  4  The number of stations for annual and different periods negative tendency coefficient exceeding the test of 0.01 and 0.001 level in Fujian

  • [1]
    刘小宁, 张洪政, 李庆祥, 等.我国大雾的气候特征及变化初步解释.应用气象学报, 2005, 16(2): 220-230. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20050227&flag=1
    [2]
    李子华.中国近40年来雾的研究.气象学报, 2001, 59(5): 617-624. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXB200105011.htm
    [3]
    张燕光.华南沿海春季大雾的分析和预报.气象, 25(2): 53-55. http://www.cnki.com.cn/Article/CJFDTOTAL-QXXX902.011.htm
    [4]
    李昀英, 王汉杰.台湾海峡地区雾形成的天气类型分析.热带海洋, 2000, 19(4): 65-70. http://www.cnki.com.cn/Article/CJFDTOTAL-RDHY200004009.htm
    [5]
    邓雪娇, 吴兑, 叶燕翔.南岭山地浓雾的物理特征.热带气象学报, 2002, 18(3): 227-236. http://www.cnki.com.cn/Article/CJFDTOTAL-RDQX200203004.htm
    [6]
    黄玉仁, 黄玉生, 李子华, 等.生态环境变化对雾的影响.气象科学, 2000, 20(2): 129-135. http://www.cnki.com.cn/Article/CJFDTOTAL-QXKX200002002.htm
    [7]
    Li Zihua, Z Limin, Z Qinghong.The physical structure of the winter fog in Chongqing metropolitan area and its formation process.Acta Meteor Sinica, 1994, 8(3) : 316-328. http://en.cnki.com.cn/Article_en/CJFDTotal-QXXW199403006.htm
    [8]
    周自江, 朱燕君, 姚志国, 等.四川盆地区域性浓雾序列及其年际和年代际变化.应用气象学报, 2006, 17(5): 567-573. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20060597&flag=1
    [9]
    苏鸿明.台湾海峡海雾的气候分析.台湾海峡, 1998, 17(1): 25-28. http://www.cnki.com.cn/Article/CJFDTOTAL-TWHX199801004.htm
    [10]
    顾骏强, 施能, 薛根元.近40年浙江省降水量、雨日的气候变化.应用气象学报, 2002, 13(3): 322-329. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20020342&flag=1
    [11]
    任国玉, 吴虹, 陈正洪.我国降水变化趋势的空间特征.应用气象学报, 2000, 11(3): 323-330. http://qikan.camscma.cn/jams/ch/reader/view_abstract.aspx?file_no=20000348&flag=1
    [12]
    施能.气象科研与预报中的多元分析方法.北京:气象出版社, 2002.
    [13]
    黄嘉佑.气象统计分析与预报方法.北京:气象出版社, 2004.
    [14]
    丁裕国, 江志红.气象数据时间序列信号处理.北京:气象出版社, 1998.
    [15]
    鹿世瑾.福建气候.北京:气象出版社, 1999.
  • 加载中
  • -->

Catalog

    Figures(7)  / Tables(4)

    Article views (3456) PDF downloads(1885) Cited by()
    • Received : 2006-02-15
    • Accepted : 2007-01-09
    • Published : 2007-08-31

    /

    DownLoad:  Full-Size Img  PowerPoint